Triple
T17296086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limestone County, Texas |
E419913
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object | Groesbeck, Texas |
E1026784
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Groesbeck, Texas | Statement: [Limestone County, Texas, countySeat, Groesbeck, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Groesbeck, Texas Context triple: [Limestone County, Texas, countySeat, Groesbeck, Texas]
-
A.
Groesbeck, Texas
chosen
Groesbeck, Texas is a small city in Limestone County that serves as a local hub for the surrounding rural area in central Texas.
-
B.
Beckville, Texas
Beckville, Texas is a small rural city in East Texas known for its close-knit community and location within the Carthage–Panola County area.
-
C.
Gruver, Texas
Gruver, Texas is a small rural city in the Texas Panhandle known for its agricultural economy and tight-knit community.
-
D.
Oglesby, Texas
Oglesby, Texas is a small rural city in Central Texas known for its tight-knit community and agricultural surroundings.
-
E.
Kenefick, Texas
Kenefick, Texas is a small rural town in southeastern Texas known for its quiet residential character within the Greater Houston region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e437875b208190bcf0df2ded546257 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180d881ec81908e794143d355effe |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:40 a.m.